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Microsoft Azure Machine Learning Studio vs PyTorch comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Microsoft Azure Machine Lea...
Ranking in AI Development Platforms
6th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (9th)
PyTorch
Ranking in AI Development Platforms
12th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the AI Development Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 3.1%, down from 4.6% compared to the previous year. The mindshare of PyTorch is 2.1%, down from 3.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Machine Learning Studio3.1%
PyTorch2.1%
Other94.8%
AI Development Platforms
 

Featured Reviews

reviewer2722962 - PeerSpot reviewer
Data Scientist
Platform accelerates model development, enhances collaboration, and offers efficient deployment
The best features Microsoft Azure Machine Learning Studio offers include deep integration with Python notebooks and Azure Data Lake, which allows me to import external data, and through the pipeline, I can build my models, performing what is called data injection for my model building, making that deep integration quite interesting to use. Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding. Microsoft Azure Machine Learning Studio has positively impacted my organization by reducing our project delivery times and increasing the pace at which we work, allowing us to focus on other more important tasks. Using Microsoft Azure Machine Learning Studio has reduced our model development time from approximately four hours to about two hours.
Rohan Sharma - PeerSpot reviewer
AI/ML Co-Lead at Developer Student Clubs - GGV
Enabled creation of innovative projects through developer-friendly features
The aspect I like most about PyTorch is that it is really developer-friendly. Developers can constantly create new things, and everyone around the world can use it for free because it's an open-source product. What I personally like is that PyTorch has enabled users to use Apple's M1 chip natively for GPU users. Unlike other libraries using CUDA, PyTorch utilizes Metal Performance Shaders (MPS) to enable GPU usage on M1 chips.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature is data normalization."
"I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model."
"This is a stable solution."
"The solution is scalable."
"The initial setup is very simple and straightforward."
"Thanks to the model I designed, the productivity of processing invoices has increased by over 11%, because the team members only verify invoices that are discrepancy-free now."
"It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"It’s reliable, secure and user-friendly. It allows you to develop any AIML project efficiently. PySearch is the best option for developing any project in the AIML domain. The product is easy to install."
"We use PyTorch libraries, which are working well. It's very easy."
"The framework of the solution is valuable."
"The product's initial setup phase is easy."
"PyTorch allows me to build my projects from scratch."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
"Its interface is the most valuable, and the ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful."
"The tool is very user-friendly."
 

Cons

"The solution should be more customizable. There should be more algorithms."
"I cannot comment on specific improvements yet as we are still exploring and need more time to identify the areas that require enhancements."
"Improvement in integration is crucial, and it'll be interesting to see how it develops, especially with SAP's move towards cloud-based solutions like SAP Rise and its collaboration with hyper scalers like AWS. Integrating SAP with hyperscaler machine learning solutions could simplify operations, although SAP's environment is complex. SAP has initiated deals with AWS for this purpose, but I'm not as familiar with Microsoft Azure Machine Learning Studio's involvement."
"As for the areas for improvement in Microsoft Azure Machine Learning Studio, I've provided feedback to Microsoft. My company is a Gold Partner of Microsoft, so I provided my feedback in another forum. Right now, it is the number of algorithms available in the designer that has to be improved, though I'm sure Microsoft does it regularly. When you take a use case approach, Microsoft has done that in a lot of places, but not on the Microsoft Azure Machine Learning Studio designer. When I say use case basis, I meant recommending a product or recommending similar products, so if Microsoft can list out use cases and give me a template, it will save me a lot of time and a lot of work because I don't have to scratch my head on which algorithm is better, and I can go with what's recommended by Microsoft. I'm sure that isn't a big task for the Microsoft team who must have seen thousands of use cases already, so out of that experience if the team can come up with a standard template, I'm sure it'll help a lot of organizations cut down on the development time, as well as going with the best industry-standard algorithms rather than experimenting with mine. What I'd like to see in the next version of Microsoft Azure Machine Learning Studio, apart from the use case template, is the improvement of the availability of libraries. Microsoft should also upgrade the Python versions because the old version of Python is still supported and it takes time for Microsoft to upgrade the support for Python. The pace of upgrading Python versions of Microsoft Azure Machine Learning Studio and making those libraries available should be sped up or increased."
"I rate the support from Microsoft as five out of ten. It could be improved."
"While ML Studio does give you the ability to run a lot of transformations, it struggles when the transformations are a bit more complex, when your entire process is transformation-heavy."
"They should have a desktop version to work on the platform."
"The pricing policy should be improved. I find the pricing to be not a good story in this case, as it is not affordable for everyone."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
"On the production side of things, having more frameworks would be helpful."
"PyTorch could make certain things more obvious. Even though it does make things like defining loss functions and calculating gradients in backward propagation clear, these concepts may confuse beginners. We find that it's kind of problematic. Despite having methods called on loss functions during backward passes, the oral documentation for beginners is quite complex."
"PyTorch needs improvement in working on ARM-based chips. They have unified memory for GPU and RAM, however, current GPUs used for processing are slow."
"The analyzing and latency of compiling could be improved to provide enhanced results."
"I do not have any complaints."
"The training of the models could be faster."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
 

Pricing and Cost Advice

"My team didn't deal with the licensing for Microsoft Azure Machine Learning Studio, so I'm unable to comment on pricing, but the money that was spent on the tool was worth it."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"There isn’t any such expensive costs and only a standard license is required."
"From a developer's perspective, I find the price of this solution high."
"In terms of pricing, for any cloud solution, you should know the tricks of the trade and how to use it, otherwise, you'll end up paying a lot of money irrespective of the cloud provider, so at least for Microsoft Azure Machine Learning Studio pricing versus AWS, I would rate it three out of five, with one being the most expensive, and five being the cheapest. It could be cheaper, but you also have to be careful when choosing the plans, for example, consider the architecture and a lot of other factors before choosing your plan, if you don't want to end up paying more. If your cloud provider has an optimizer that seems to be available in every provider, that would keep alerting you in terms of resources not being used as much, then that would help you with budgeting."
"We pay only the Azure costs for what we use, which involves some subscription costs. But essentially, you pay for what you use. There are no extra costs in addition to the standard licensing fees."
"The solution cost is high."
"The product's pricing is reasonable."
"The solution is affordable."
"PyTorch is open source."
"It is free."
"PyTorch is open-sourced."
"PyTorch is an open-source solution."
"It is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Outsourcing Company
12%
Performing Arts
7%
Manufacturing Company
7%
Financial Services Firm
12%
Manufacturing Company
12%
University
11%
Comms Service Provider
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise6
Large Enterprise32
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise6
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go, meaning it won't cost excessively unless specific resources are used.
What needs improvement with Microsoft Azure Machine Learning Studio?
The initial setup can be a bit challenging for someone new, as the learning curve can be steep, but once I master the platform, I find it quite manageable. I would love to see the integration of a ...
What is your experience regarding pricing and costs for PyTorch?
I haven't gone for a paid plan yet. I've just been using the free trial or open-source version.
What needs improvement with PyTorch?
There are a few areas for improvement. The biggest one for me is version and dependency management, as I have to ensure my Torch, TorchAudio, and CUDA versions are all aligned. If one is off, thing...
What is your primary use case for PyTorch?
I have been using PyTorch for the last three years, mostly through my thesis work and model deployment projects. I use PyTorch for pretty much everything in my deep learning work, specifically to b...
 

Also Known As

Azure Machine Learning, MS Azure Machine Learning Studio
No data available
 

Overview

 

Sample Customers

Walgreens Boots Alliance, Schneider Electric, BP
Information Not Available
Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. PyTorch and other solutions. Updated: September 2026.
917,403 professionals have used our research since 2012.